High-throughput screening (HTS) is an early-stage process in drug discovery which
allows thousands of chemical compounds to be tested in a single study.
The aim of our work was to develop
and implement methods for minimizing the impact of systematic error in the analysis
of HTS data. HTS-Corrector is a software application for the analysis of HTS data,
detection and visualization of systematic error, corresponding correction of
HTS signals, and hit selection. New methods for the statistical analysis and correction of raw HTS
data are included in HTS-Corrector: background evaluation, well correction and hit
selection using clustering procedures.